One-fault-shot learning for fault severity estimation of gears that addresses differences between simulation and experimental signals and transfer function effects-Reference-Cited by-同舟云学术

One-fault-shot learning for fault severity estimation of gears that addresses differences between simulation and experimental signals and transfer function effects

Published:2023-04 Issue: Volume:56 Page:101945
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Matania Omri,Bachar Lior,Khemani Varun,Das Diganta,Azarian Michael H.,Bortman Jacob

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference81 articles.

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4. Health condition prediction of gears using a recurrent neural network approach;Tian;IEEE Trans. Reliab.,2010

5. A novel RSG-based intelligent bearing fault diagnosis method for motors in high-noise industrial environment;Lyu;Adv Eng Informat.,2022

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